South_korea_ln's avatar
South_korea_ln
southkorealn@nostrplebs.com
npub1hf0s...akus
#Bitcoin Use #sats4focus to highlight notes to receive sats while you focus, i.e. paid Pomodoros. Guideline: 1 sat per minute of focus...
AI Layoffs Tracker Cynically posting this in ~Stacker_Stocks, too, because the linked article reminded me that recently I was talking to a former physicist turned AI engineer. He's the cynical type, most AI is bullshit, hates VCs, overvalued companies, etc. Yet, he's actively "investing" in these companies by buying their stock, as he doesn't see the bullshit stopping anytime soon. Still, many companies will fire people due to "AI" optimization. And many of these companies see a surge in their stock price whenever they announce a firing round. And the "correction" will be smaller than the gains he's hoping to make until the eventual crash. Korean retail buying SK Hynix and Samsung Electronics also does not believe it'll go down anytime. It goes up until it doesn't. The stupidest of timelines. Let's reward companies that fire their workers.
AI model finally learns to say ‘I don’t know’ > Commonly used AI models like OpenAI’s ChatGPT have been shown to “hallucinate”, or make up facts, as they are incentivised to make guesses rather than admit their lack of knowledge. [...] > To address this, researchers say they used clues from the way the human brain solves the issue. > In humans, brain signals are generated without external input even before birth, which helps deal with the issue. > Mimicking this, scientists developed a system in which the neural network backbone of an AI model underwent brief pre-training with random noise inputs before actual learning. > This process, according to researchers, helps AI set a baseline for itself by adjusting its own uncertainty before starting data learning. > The warm-up process can help an AI model set its initial confidence to a low level close to chance, and significantly reduce its overconfidence bias. > In other words, researchers say, the method helps models first learn the state of "I don't know anything yet”. > “While conventional models tend to give incorrect answers with high confidence even for data they have not encountered during training, models with warm-up training showed a clear improvement in their ability to lower confidence and recognise that they ‘do not know’,” researchers explained. > This can help AI develop the ability to distinguish “what it knows" from "what it does not know". > "This study demonstrates that by incorporating key principles of brain development, AI can recognise its own knowledge state in a way that is more similar to humans," Se-Bum Paik, an author of the study published in the journal *Nature Machine Intelligence,* said. Mimicking how the brain works makes for good PR, but regardless, if this truly solves the hallucination problem, even if partially, I'd be a happy man. But let's see if this translates into tangible improvements in the big models. I'm skeptical for now.
AI model finally learns to say ‘I don’t know’ > Commonly used AI models like OpenAI’s ChatGPT have been shown to “hallucinate”, or make up facts, as they are incentivised to make guesses rather than admit their lack of knowledge. [...] > To address this, researchers say they used clues from the way the human brain solves the issue. > In humans, brain signals are generated without external input even before birth, which helps deal with the issue. > Mimicking this, scientists developed a system in which the neural network backbone of an AI model underwent brief pre-training with random noise inputs before actual learning. > This process, according to researchers, helps AI set a baseline for itself by adjusting its own uncertainty before starting data learning. > The warm-up process can help an AI model set its initial confidence to a low level close to chance, and significantly reduce its overconfidence bias. > In other words, researchers say, the method helps models first learn the state of "I don't know anything yet”. > “While conventional models tend to give incorrect answers with high confidence even for data they have not encountered during training, models with warm-up training showed a clear improvement in their ability to lower confidence and recognise that they ‘do not know’,” researchers explained. > This can help AI develop the ability to distinguish “what it knows" from "what it does not know". "Mim > "This study demonstrates that by incorporating key principles of brain development, AI can recognise its own knowledge state in a way that is more similar to humans," Se-Bum Paik, an author of the study published in the journal *Nature Machine Intelligence,* said. Mimicking how the brain works makes for good PR, but regardless, if this truly solves the hallucination problem, even if partially, I'd be a happy man. But let's see if this translates into tangible improvements in the big models. I'm skeptical for now.
AI model finally learns to say ‘I don’t know’ > Commonly used AI models like OpenAI’s ChatGPT have been shown to “hallucinate”, or make up facts, as they are incentivised to make guesses rather than admit their lack of knowledge. [...] > To address this, researchers say they used clues from the way the human brain solves the issue. > In humans, brain signals are generated without external input even before birth, which helps deal with the issue. > Mimicking this, scientists developed a system in which the neural network backbone of an AI model underwent brief pre-training with random noise inputs before actual learning. > This process, according to researchers, helps AI set a baseline for itself by adjusting its own uncertainty before starting data learning. > The warm-up process can help an AI model set its initial confidence to a low level close to chance, and significantly reduce its overconfidence bias. > In other words, researchers say, the method helps models first learn the state of "I don't know anything yet”. > “While conventional models tend to give incorrect answers with high confidence even for data they have not encountered during training, models with warm-up training showed a clear improvement in their ability to lower confidence and recognise that they ‘do not know’,” researchers explained. > This can help AI develop the ability to distinguish “what it knows" from "what it does not know". > "This study demonstrates that by incorporating key principles of brain development, AI can recognise its own knowledge state in a way that is more similar to humans," Se-Bum Paik, an author of the study published in the journal *Nature Machine Intelligence,* said.
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French professor accused of ‘gigantic hoax’ after inventing Nobel-style prize > At a ceremony at the French national assembly attended by Nobel prize winners, former government ministers, MPs, decorated scientists and academics, all attention was on a previously unknown literature professor. > Florent Montaclair, then 46, a balding, bespectacled figure in an ill-fitting suit and rosé-coloured shirt, was receiving the 2016 Gold Medal of Philology - the study of linguistics – from an international society of the same name. > Montaclair was the first French recipient of the medal, previously awarded to the Italian author and linguist [Umberto Eco](https://www.theguardian.com/books/umbertoeco), those attending were told. > It was a glittering event and an impressive achievement – but unfortunately, detectives claim, the award itself was entirely fake and part of a complex international hoax worthy of a film script. > Although the ceremony did take place, there was no International Society of Philology. The American university to which it was supposedly affiliated existed only online and its address was traced to a jewellery store in Lewes, Delaware. The award – likened to a Nobel prize – was invented by Montaclair, and the academic had bought the medal from a jeweller in Paris for €250 to present to himself. [...] > The labyrinthine investigation now centres on whether Montclair, employed at the Marie and Louis Pasteur University, a teacher training college in Besançon, used the fake medal and a “doctorate” from the University of Philology and Education in the US to obtain a promotion and pay rise. The lengths some people go to get an academic promotion...
The fuck did I just watch? #Plebslop These people are _not_ to answer to the question of how to discuss the quantum threat in the context of Bitcoin. Maybe this clip is cherry-picked, but still.
South_korea_ln's avatar
South_korea_ln 0 months ago
The Technological Republic, in brief. > *The Technological Republic*, in brief. > 1. **Silicon Valley owes a moral debt to the country that made its rise possible.** The engineering elite of Silicon Valley has an affirmative obligation to participate in the defense of the nation. > 2. **We must rebel against the tyranny of the apps.** Is the iPhone our greatest creative if not crowning achievement as a civilization? The object has changed our lives, but it may also now be limiting and constraining our sense of the possible. > 3. **Free email is not enough.** The decadence of a culture or civilization, and indeed its ruling class, will be forgiven only if that culture is capable of delivering economic growth and security for the public. > 4. **The limits of soft power, of soaring rhetoric alone, have been exposed.** The ability of free and democratic societies to prevail requires something more than moral appeal. It requires hard power, and hard power in this century will be built on software. > 5. **The question is not whether A.I. weapons will be built; it is who will build them and for what purpose.** Our adversaries will not pause to indulge in theatrical debates about the merits of developing technologies with critical military and national security applications. They will proceed. > 6. **National service should be a universal duty.** We should, as a society, seriously consider moving away from an all-volunteer force and only fight the next war if everyone shares in the risk and the cost. > 7. **If a U.S. Marine asks for a better rifle, we should build it; and the same goes for software.** We should as a country be capable of continuing a debate about the appropriateness of military action abroad while remaining unflinching in our commitment to those we have asked to step into harm’s way. > 8. **Public servants need not be our priests.** Any business that compensated its employees in the way that the federal government compensates public servants would struggle to survive. > 9. **We should show far more grace towards those who have subjected themselves to public life.** The eradication of any space for forgiveness—a jettisoning of any tolerance for the complexities and contradictions of the human psyche—may leave us with a cast of characters at the helm we will grow to regret. > 10. **The psychologization of modern politics is leading us astray.** Those who look to the political arena to nourish their soul and sense of self, who rely too heavily on their internal life finding expression in people they may never meet, will be left disappointed. > 11. **Our society has grown too eager to hasten, and is often gleeful at, the demise of its enemies.** The vanquishing of an opponent is a moment to pause, not rejoice. > 12. **The atomic age is ending.** One age of deterrence, the atomic age, is ending, and a new era of deterrence built on A.I. is set to begin. > 13. **No other country in the history of the world has advanced progressive values more than this one.** The United States is far from perfect. But it is easy to forget how much more opportunity exists in this country for those who are not hereditary elites than in any other nation on the planet. > 14. **American power has made possible an extraordinarily long peace.** Too many have forgotten or perhaps take for granted that nearly a century of some version of peace has prevailed in the world without a great power military conflict. At least three generations — billions of people and their children and now grandchildren — have never known a world war. > 15. **The postwar neutering of Germany and Japan must be undone.** The defanging of Germany was an overcorrection for which Europe is now paying a heavy price. A similar and highly theatrical commitment to Japanese pacifism will, if maintained, also threaten to shift the balance of power in Asia. > 16. **We should applaud those who attempt to build where the market has failed to act.** The culture almost snickers at Musk’s interest in grand narrative, as if billionaires ought to simply stay in their lane of enriching themselves . . . . Any curiosity or genuine interest in the value of what he has created is essentially dismissed, or perhaps lurks from beneath a thinly veiled scorn. > 17. **Silicon Valley must play a role in addressing violent crime.** Many politicians across the United States have essentially shrugged when it comes to violent crime, abandoning any serious efforts to address the problem or take on any risk with their constituencies or donors in coming up with solutions and experiments in what should be a desperate bid to save lives. > 18. **The ruthless exposure of the private lives of public figures drives far too much talent away from government service.** The public arena—and the shallow and petty assaults against those who dare to do something other than enrich themselves—has become so unforgiving that the republic is left with a significant roster of ineffectual, empty vessels whose ambition one would forgive if there were any genuine belief structure lurking within. > 19. **The caution in public life that we unwittingly encourage is corrosive.** Those who say nothing wrong often say nothing much at all. > 20. **The pervasive intolerance of religious belief in certain circles must be resisted.** The elite’s intolerance of religious belief is perhaps one of the most telling signs that its political project constitutes a less open intellectual movement than many within it would claim. > 21. **Some cultures have produced vital advances; others remain dysfunctional and regressive.** All cultures are now equal. Criticism and value judgments are forbidden. Yet this new dogma glosses over the fact that certain cultures and indeed subcultures . . . have produced wonders. Others have proven middling, and worse, regressive and harmful. > 22. **We must resist the shallow temptation of a vacant and hollow pluralism.** We, in America and more broadly the West, have for the past half century resisted defining national cultures in the name of inclusivity. But inclusion into what? > Excerpts from the #1 New York Times Bestseller *The Technological Republic: Hard Power, Soft Belief, and the Future of the West*, by Alexander C. Karp & Nicholas W. Zamiska
The Distribution of Prime Numbers: A Geometrical Perspective A colleague recently sent me this blogpost. Some here may appreciate this kind of fun with primes, similar to what I had shared a while back: by 3Blue1Brown. > We [introduced](https://arxiv.org/abs/1801.01540) a prime number visualization called **Jacob’s Ladder**. The algorithm plots numbers on a 2D graph that oscillates up and down based on the presence of prime numbers, creating a ladder-like structure. The path ascends or descends based on the primality of subsequent numbers. When a prime number is encountered, the path alters direction, leading to a zig-zag pattern. Number 2 is prime, so it flips and goes down. Now 3 is prime, so the next step changes direction and goes up again, so we move up. But 4 is not a prime, so it continues up, and on it goes. A nice little video also, further down the article.
The Distribution of Prime Numbers: A Geometrical Perspective > We [introduced](https://arxiv.org/abs/1801.01540) a prime number visualization called **Jacob’s Ladder**. The algorithm plots numbers on a 2D graph that oscillates up and down based on the presence of prime numbers, creating a ladder-like structure. The path ascends or descends based on the primality of subsequent numbers. When a prime number is encountered, the path alters direction, leading to a zig-zag pattern. Number 2 is prime, so it flips and goes down. Now 3 is prime, so the next step changes direction and goes up again, so we move up. But 4 is not a prime, so it continues up, and on it goes. A nice little video also, further down the article. A colleague recently sent me this. Some here may appreciate this kind of fun with primes, similar to what I had shared a while back: by 3Blue1Brown.
The Distribution of Prime Numbers: A Geometrical Perspective > We [introduced](https://arxiv.org/abs/1801.01540) a prime number visualization called **Jacob’s Ladder**. The algorithm plots numbers on a 2D graph that oscillates up and down based on the presence of prime numbers, creating a ladder-like structure. The path ascends or descends based on the primality of subsequent numbers. When a prime number is encountered, the path alters direction, leading to a zig-zag pattern. Number 2 is prime, so it flips and goes down. Now 3 is prime, so the next step changes direction and goes up again, so we move up. But 4 is not a prime, so it continues up, and on it goes. youtube.com/watch?v=DTImOesprL8\&time\_continue=16\&source\_ve\_path=MjM4NTE\&embeds\_referring\_euri=https%3A%2F%2Fblog.computationalcomplexity.org%2F A colleague recently sent me this. Some here may appreciate this kind of fun with primes, similar to what I had shared a while back: by 3Blue1Brown.
South_korea_ln's avatar
South_korea_ln 2 months ago
The Hijacking of Bitcoin - Brownstone Institute Someone in a crypto group I'm part of sent this article yesterday. I stopped reading after this paragraph: > Lightning works like opening a tab at a bar: you and the bar settle later. It is faster and cheaper for small payments, but it relies on middlemen (called hubs) who hold your money in channels and can see what you are doing. It is not the same as handing someone cash. It adds points where someone else can interfere or shut things down. When I told him I stopped reading after this uninformed paragraph on the LN, they asked me, _what is LN_? Yet, he based his current negative sentiment on Bitcoin on this article. This resonates with the article @Darthcoin just posted (https://stacker.news/items/1452620/r/south_korea_ln). This is what we are up against. Willful and/or accidental misinformation campaigns. The LN works. People are working on making it better, but it works.
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South_korea_ln 2 months ago
Massacre of girls at Minab school: human error or artificial intelligence? I already vented about the human side of this massacre here (https://stacker.news/items/1448847/r/south\_korea\_ln), but posting this article as it turns out this could have been influenced by the heave use of AI. > The preliminary report, according to rumours in the New York Times, reveals that the school was destroyed because Central Command, the military command engaged in the Middle East, relied on outdated intelligence information, provided by the Defense Intelligence Agency (Dia), the Pentagon's intelligence service. And which, inexplicably, was not checked, a procedure that traditionally takes place at several levels and can draw on hundreds of analysts and military experts. To me, the title is misleading. If it is AI that incorrectly assigned the school to be a military target because of outdated data, then it is *very much* a human error. But then again, as with coding, people don't seem to take responsibility for the code their LLM spawns. In an ideal world, someone would take responsibility for this shitshow. Yet, this market will likely resolve with a *no*: [https://beta.predyx.com/market/pete-hegseth-out-as-secretary-of-defense-by-march-31-1765112860](https://beta.predyx.com/market/pete-hegseth-out-as-secretary-of-defense-by-march-31-1765112860)
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South_korea_ln 2 months ago
The Obvious Problem That No One Can Agree On - Veritasium What are you? Please answer the question before getting into the explanation part of the video (starting at 3:32). This is one of the better Veritasium videos I've watched. I especially like the comments on free will, how to live your life, and rationality. > Whether we do or don't have free will, you have to live as though it exists. This resonates with me because in my mid-20s, I entered a (quasi)depressive mindset where, after reading several books touching on this topic, it made me feel like whatever I did, it didn't matter. I then, at some point, just decided to live by the idea that free will exists, as the alternative was not worth living anymore (and also, it almost alienated a few people around me when I tried to elaborate on those metaphysical ideas).
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South_korea_ln 2 months ago
American forces likely launched strike that hit Iran girls school > The girls’ school in Minab, in southern Iran, was hit on Saturday during the first day of US and Israeli attacks on the country. Iran’s ambassador to the UN in Geneva, Ali Bahreini, said the strike killed 150 students. Iranian authorities have been the only ones to provide a death count from what would be the deadliest strike of the US-Israeli war against the Islamic Republic. Their figures have not been independently confirmed. 150 kids. This is fucking insane. Supporting any regime that thinks this is normal or acceptable is beyond my understanding. Even if the numbers are exaggerated. @Cje95, you're the most vocal supporter here of the Trump administration. How can you reconcile your support with such blatant civilian casualties?
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South_korea_ln 2 months ago
The Ordinals BIP got rejected > Short summary: we weighed pros and cons, seemed to fall slightly to the con side, but nobody felt strongly enough about it so it sat in limbo. A decision had to be made, and eventually one of us did. > I'll share more of my thoughts in this thread